Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 334

Open Source DevOps Traffic Cloud 334

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. We leverage Python to protect our SSH resources using Bless.

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

MAY 1, 2020

This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint. The initial release of OneAgent for the ARM platform with OneAgent version 1.191 is certified and tested to work on SUSE Enterprise Linux 15.x,

Java 182

Java Hardware Metrics Tuning 182

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. remove the dependency on the monolith after all testing is successful. create a microservice; 2.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. The optimal value can be decided after testing multiple settings, starting from eight is a good choice. If you see concurrency issues, you can tune this variable.

Performance 144

Performance Hardware Tuning Storage 144

Alex Podelko

OCTOBER 20, 2016

I am looking forward to share my thoughts on ‘Reinventing Performance Testing’ at the imPACt performance and capacity conference by CMG held on November 7-10, 2016 in La Jolla, CA. Another major trend is using multiple third-party components and services, which may be not easy to properly incorporate into testing. – Cloud.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 222

Latency Traffic Transportation Cloud 222

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Whether a situation arises during development, testing, deployment, or in production, it’s important to work with a solution that can detect conditions in real-time so teams can troubleshoot issues before they slow down development or impact customers.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

The Morning Paper

NOVEMBER 3, 2019

Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. On the exact same hardware, the benchmark suite is then used to test 36 Linux release versions from 3.0 Headline results.

Performance 108

Performance Benchmarking Tuning Hardware 108

All Things Distributed

MARCH 19, 2018

Amazon SageMaker training supports powerful container management mechanisms that include spinning up large numbers of containers on different hardware with fast networking and access to the underlying hardware, such as GPUs. Post-training model tuning and rich states. This can all be done without touching a single line of code.

Scalability 129

Scalability Hardware AWS Tuning 129

Percona

NOVEMBER 2, 2023

Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. You should also review your hardware resources, how you use MongoDB, and any custom configurations. We walk you through the essential steps required.

Best Practices 111

Best Practices Hardware Tuning Scalability 111

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not. Currently, CPU affinity (i.e., Will this work? test4 run both to see what happen with RG.

Tuning 70

Tuning Virtualization Testing Servers 70

Percona

MARCH 27, 2023

A lot of useful information can be retrieved from this schema, for example, table metadata and foreign key relations, but trying to query I_S can induce performance degradation if your server is under heavy load, as shown in the following example test. The same tests have been executed in Percona Server for MySQL 5.7

Cache 124

Cache Hardware Servers Benchmarking 124

Percona

MAY 1, 2023

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52

Tuning Database Efficiency Performance 52

Dynatrace

OCTOBER 22, 2019

Ultimately, it leads to a state where your system won’t be able to process more data even if you add more hardware. Based on this, you can go back and test different ways to write this code. Among other things, you’ll also be able to understand which thread is responsible for high allocation pressure, so stay tuned.

Java 145

Java Scalability Hardware Code 145

Percona

OCTOBER 18, 2023

This approach can minimize complexities but requires complete confidence in your preparations, tests, and abilities. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Should I be bringing in external experts to help out?

Open Source 111

Open Source Database Hardware Strategy 111

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task.

Hardware 135

Hardware Storage Big Data Blockchain 135

DZone

AUGUST 16, 2019

It’s not just a simple tweak you can turn on/off; it’s a long-time process that touches almost every single item in your stack, including both hardware and software sides of the system. Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM).

Scalability 145

Scalability Efficiency Hardware Software 145

O'Reilly

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 153

AWS Lambda Artificial Intelligence Mobile 153

O'Reilly

MARCH 11, 2025

These smaller distilled models can run on off-the-shelf hardware without expensive GPUs. And they can do useful work, particularly if fine-tuned for a specific application domain. Spending a little money on high-end hardware will bring response times down to the point where building and hosting custom models becomes a realistic option.

Artificial Intelligence 63

Artificial Intelligence Infrastructure Government Open Source 63

The Morning Paper

MAY 21, 2019

Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. From extensive A/B testing, P was empirically determined to be 0.2%/minute. ML-based auto-tuning. The following chart shows an A/B test result for Bigtable with and without zswap enabled. min promotion rate though?

Software 78

Software Software Google Hardware 78

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge Steps Provisioning The first step is to provision the four nodes with both PostgreSQL and Citus. Redundancy can potentially decrease overall performance.

Database 114

Database Benchmarking Latency C++ 114

Sutter's Mill

NOVEMBER 11, 2023

Instead, you want a library that is tuned for your target hardware architecture and ready for par_unseq vectorized algorithms, for blazing speed. The work ended up taking not quite an hour, including to update the repo’s own code where I’m using contracts myself in the compiler and its unit tests. This is that library.

C++ 130

C++ Lambda Network Programming 130

KeyCDN

AUGUST 15, 2019

Web performance is a broad subject, and you’ll find no shortage of performance testing tips and tutorials all over the web. Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. Test Environment. Each test result represents the best of ten runs, with all required data and index pages in memory. Cost" column shows the optimizer's cost estimate for each query as reported on the test system. Final Thoughts.

Servers 86

Servers Tuning Database Efficiency 86

Scalegrid

JANUARY 25, 2024

Evaluating the total commands processed per second entails tracking server workload by observing its request-handling capabilities via different techniques such as immediate metric measurements, continuous real-time data flow using MONITOR command, or testing simulated workloads with the Redis benchmark program.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

JANUARY 19, 2023

Example: Creating four simple tables to store strings but using different data types: db1 test> CREATE TABLE tb1 (id int auto_increment primary key, test_text char(200)); Query OK, 0 rows affected (0.11 sec) db1 test> CREATE TABLE tb2 (id int auto_increment primary key, test_text varchar(200)); Query OK, 0 rows affected (0.05

Open Source 111

Open Source Storage Database Big Data 111

HammerDB

OCTOBER 18, 2019

Well its difficult to be entirely sure however the tests have all the characteristics of tests observed previously where the CPUs are running in powersave mode. So lets take an Ubuntu system with Platinum 8280 CPUs with the following Ubuntu OS, reboot and check the CPU configuration before running any tests.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Brendan Gregg

SEPTEMBER 25, 2021

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. There's also a test and println() in the loop to, hopefully, convince the compiler not to optimize-out an otherwise empty loop. This will slow this test a little.) But I'm not completely sure.

Speed 103

Speed Java AWS Virtualization 103

Abhishek Tiwari

SEPTEMBER 15, 2024

This allows NASA's engineers to fine-tune every aspect of the rover's behavior, optimizing for reliability rather than rapid development or ease of use. Imagine spending years meticulously planning, coding, and testing a single app. NASA's testing processes are where the real magic happens.

Engineering 52

Engineering Social Media Hardware C++ 52

John McCalpin

APRIL 25, 2023

link] ) For the single-core case the bandwidth reported by the STREAM benchmark kernels is very close to the same as the bandwidth for the all-read tests reported here. Stay tuned! Details in the next blog entry.) The NEC Vector Engine processors provide a demonstration of very high single-core bandwidth. On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. Please refer to this tuning guide to tune the system for HammerDB: Open Source Database Tuning Guide on 3rd Generation Intel® Xeon® Scalable Processors Based Platform. 4.22 %usr 38.40

Performance 55

Performance Benchmarking Cache Storage 55

O'Reilly

OCTOBER 11, 2022

Selenium , the first tool for automated browser testing (2004), could be programmed to find fields on a web page, click on them or insert text, click “submit,” scrape the resulting web page, and collect results. But the core of the process is simple, and hasn’t changed much since the early days of web testing. What’s required?

Games 141

Games Healthcare Processing Systems 141

Percona

AUGUST 29, 2023

Depending on the configuration, one can tune a hardware RAID for either performance or redundancy. Now let’s stretch our imagination and consider a second method of high availability, ala Citus. The best way to describe the Citus way of doing things is to reflect how data is managed by a disk RAID array.

C++ 98

C++ Database Storage Testing 98

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. Testing Hell Testing and quality assurance with data pipeline is a nightmare.

Latency 63

Latency Analytics Scalability Engineering 63

KeyCDN

SEPTEMBER 20, 2018

Not all back-end errors affect the user experience, but keeping track of them can prove helpful when tuning your app. Monitoring errors on the front-end requires a bit more work because front-end performance is highly dependant on the user’s hardware, software and connection. Manual Testing 5.

Monitoring 67

Monitoring Strategy Website Google 67